Powered by a linguistic approach, the future of natural language processing will enable human-like understanding through a wide range of applications. Thanks to Bitext NLP technologies, that far future is closer than expected. Bitext solutions are fully oriented to the current needs of many forward-looking companies relying on cutting-edge techniques ranging from sentiment analysis tools to a generation of artificial training data. After years of hard work in the field of the automation of customer support, Bitext developed the most advanced API ever seen and several conversational agents for innovative enterprises as, for instance, TechCrunch.

Lex, the bot building platform in which Amazon has invested a great deal of money, can be drastically improved. Lex’s understanding accuracy has the potential to go from 40% to over 90% thanks to the artificial training data automatically generated by Bitext. Building a well performing bot with Lex is now possible!

Up to 60 million people speak Spanish today in the USA. However, large companies like Bank of America or Amtrak are struggling to have a Spanish-speaking customer support bot to multiply their sales opportunities. Is it that difficult to make AI understand Spanish?

Any improvement you want to make to your chatbot must be based on real facts to achieve more favorable results; there is no time to shoot in the dark. This is where metrics have an important role to play: telling you what needs to be modified to assure a better customer experience and increase your revenue rates. What gets measured, gets managed.

Big companies don’t think it twice: the wider their audience, the higher their profits. In this context, when they want to carve out a market niche worldwide, English is not enough. What is missing here, as far as businesses are concerned, is serious attention to multilingual needs in customer support. Multilingual chatbots are a gold opportunity to reach them all.